Weighting and pruning based ensemble deep random vector functional link network for tabular data classification

In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose novel variants of the edRVFL network. Weighted edRVFL (WedRVFL) uses weightin...

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Bibliographic Details
Main Authors: Shi, Qiushi, Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam, Katuwal, Rakesh
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/164112
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Institution: Nanyang Technological University
Language: English

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